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20th International conference on Advanced Information Networking and applications

作者： Le Borgne, Yann-Ael Moussaid, Mehdi Bontempi, Gianluca Univ Libre Bruxelles ULB Machine Learning Grp Dept Comp Sci B-1050 Brussels Belgium

ISBN: (纸本)0769524664

Wireless sensor networks, by providing an unprecedented way of interacting with the physical environment, have become a hot topic for research over the last few years. As with any new technology, results from real experimentations using these networks are still scarce, as real deployments are either costly, or still unfeasible in the current state of technology. There is therefore an increasing need for simulation tools allowing the testing of different architectures, communication protocols or information processing algorithms in sensor networks. In this paper, we investigate a simulation framework for the testing of data processing in wireless sensor network applications. In a first stage, data is generated using partial differential equations, allowing the modeling of a large panel of physical phenomena. In a second stage, sensing unit operating system and network constraints are simulated using an instance of a versatile simulator to account for the platform characteristics. Insights provided by the proposed simulation frame are illustrated by a set of experiments on a heat source detection task.

关键词： Wireless telecommunication systems

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Multi level processing methodology for automotive applications

Multi level processing methodology for automotive applicatio...

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ITSC 2006: 2006 IEEE Intelligent Transportation Systems conference

作者： Scheunert, Ullrich Lindner, Philipp Cramer, Heiko Tatschke, Thomas Polychronopoulos, Aristomenis Wanielik, Gerd Chemnitz University of Technology 09107 Chemnitz Germany Institute for Software Systems in Technical Applications of Computer Science FORWISS Passau 94032 Passau Germany 15773 Athens Greece

ISBN: (纸本)1424400945

The fusion of data from different sensorial sources is nowadays an often-used method to increase robustness and reliability of automatic environmental perception. The project Profusion2, which is a horizontal subproject in the IP PReVENT (funded by the EC) was created to enhance fusion techniques and algorithms beyond the current state-of-the-art. The enhancement of the algorithms is strongly connected with the creation of a methodology to describe vehicle environments in an adequate manner to meet the requirements of robustness and reliability. In this paper, the definition of such a general environmental description is proposed and an according general data structure is introduced. This data structure is able to handle all kind of information occurring in a data fusion process. Additionally, an output structure of the perception system is proposed to work as an interface to the applications. The Profusion2 community suggested a model for sensor data fusion in compliance with the Joint Directors of Laboratories (JDL) model which is a widely known model for information fusion systems ([9]). © 2006 IEEE.

关键词： sensor data fusion

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A review on machinery diagnostics and prognostics implementing condition-based maintenance

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MECHANICAL SYSTEMS AND SIGNAL PROCESSING 2006年第7期20卷 1483-1510页

作者： Jardine, Andrew K. S. Lin, Daming Banjevic, Dragan Univ Toronto CBM Lab Dept Mech & Ind Engn Toronto ON M5S 3G8 Canada

Condition-based maintenance (CBM) is a maintenance program that recommends maintenance decisions based on the information collected through condition monitoring. It consists of three main steps: data acquisition, data processing and maintenance decision-making. Diagnostics and prognostics are two important aspects of a CBM program. Research in the CBM area grows rapidly. Hundreds of papers in this area, including theory and practical applications, appear every year in academic journals, conference proceedings and technical reports. This paper attempts to summarise and review the recent research and developments in diagnostics and prognostics of mechanical systems implementing CBM with emphasis on models, algorithms and technologies for data processing and maintenance decision-making. Realising the increasing trend of using multiple sensors in condition monitoring, the authors also discuss different techniques for multiple sensor data fusion. The paper concludes with a brief discussion on current practices and possible future trends of CBM. (c) 2005 Elsevier Ltd. All rights reserved.

关键词： diagnostics prognostics condition monitoring condition-based maintenance signal processing sensor data fusion

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Objectively optimised multisensor image fusion

Objectively optimised multisensor image fusion

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9th International conference on Information fusion

作者： Petrovic, V. Cootes, T. Univ Manchester Imaging Sci Biomed Engn Manchester M13 9PT Lancs England

ISBN: (纸本)9781424409532

A plethora of image fusion algorithms have been proposed recently, yet what are optimal fusion parameters that should be used for any multi-sensor dataset cannot be defined a priori. They could be learned by evaluating all available fusion strategies on large, representative datasets, but this is not practical and provides no guarantee that fusion performance will remain optimal should real input conditions differ from sample data. This paper proposes and examines the viability of a powerful framework for objectively optimal image fusion that explicitly optimises fusion performance for any set of input conditions. The idea is to integrate proven concepts used in objective image fusion evaluation metrics to optimally adapt the fusion process to the input conditions. Specific focus is on fusion for display, which has a broad appeal in a wide range of fusion applications as only metrics shown to be subjectively relevant are considered The results show that the proposed framework achieves a considerable improvement in both the level and robustness of fusion performance for a wide array of multi-sensor images.

关键词： image fusion fusion optimisation adaptive fusion

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Investigation of target tracking performance for unattended ground sensor networks employing Distributed Cluster Management

Investigation of target tracking performance for unattended ...

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conference on Multisensor, Multisource Information fusion

作者： Stelzig, Chad A. Essawy, Magdi A. Minor, Sharon Gen Dynam Adv Informat Syst 8800 Queen Ave S Bloomington MN 55431 USA US Army CECOM Ctr Night Vis & Electroopt Ft Belvoir VA 22060 USA

ISBN: (纸本)0819462985

Interest in the distribution of processing in unattended ground sensing (UGS) networks has resulted in new technologies and system designs targeted at reduction of communication bandwidth and resource consumption through managed sensor interactions. A successful management algorithm should not only address the conservation of resources, but also attempt to optimize the information gained through each sensor interaction so as to not significantly deteriorate target tracking performance. This paper investigates the effects of Distributed Cluster Management (DCM) on tracking performance when operating in a deployed UGS cluster. Originally designed to reduce communications bandwidth and allow for sensor field scalability, the DCM has also been shown to simplify the target tracking problem through reduction of redundant information. It is this redundant information that in some circumstances results in secondary false tracks due to multiple intersections and increased uncertainty during track initiation periods. A combination of field test data playback and Monte Carlo simulations are used to analyze and compare the performance of a distributed UGS cluster to that of an unmanaged centralized cluster.

关键词： unattended ground sensors Distributed Cluster Management target tracking

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A novel algorithm of image fusion using finite ridgelet transform

A novel algorithm of image fusion using finite ridgelet tran...

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conference on Multisensor, Multisource Information fusion

作者： Miao Qiguang Wang Baoshu Xidian Univ Sch Comp Sci Xian 710071 Peoples R China Guilin Univ Electron Technol Guilin 541004 Peoples R China

ISBN: (纸本)0819462985

in this paper, a novel image fusion method based on the finite ridgelet transform(FRIT). Firstly, the problem that wavelet transform could not efficiently represent the singularity of linear/curve in image processing is analyzed. Secondly, the principal of FRIT and its good performance in expressing the singularity of two or higher dimensional are studied. Finally, the feasibility of image fusion using FRIT is discussed in detail. A new fusion method based on FRIT and the fusion framework are proposed. The transform coefficients structure and the fusion procedure are given in detail in this paper. Experiments show that the proposed algorithm works better in preserving the edge and texture information than the wavelet transform method and the Laplacian pyramid methods do in image fusion.

关键词： image fusion finite ridgelet transform finite Radon transform singularity

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The contourlet transform for image fusion

The contourlet transform for image fusion

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conference on Multisensor, Multisource Information fusion

作者： Miao Qiguang Wang Baoshu Xidian Univ Sch Comp Sci Xian 710071 Peoples R China Guilin Univ Elect Technol Guilin 541004 Peoples R China

ISBN: (纸本)0819462985

In this paper, we introduce a new image fusion method based on the contourlet transform. Firstly, the problem that wavelet transform could not efficiently represent the singularity of linear/curve in image processing is analyzed. Secondly, the principal of Contourlet and its good performance in expressing the singularity of two or higher dimensional are studied. Finally, the feasibility of image fusion using contourlet transform is discussed in detail. A new fusion method based on Contourlet transform and the fusion framework are proposed. The transform coefficients structure and the fusion procedure are given in detail in this paper. Experiments show that the proposed algorithm works better in preserving the edge and texture information than the wavelet transform method and the Laplacian pyramid methods do in image fusion.

关键词： image fusion contourlet transform pyramidal directional filter bank singularity

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Scalability of location sensor data fusion

Scalability of location sensor data fusion

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31st Annual IEEE conference on Local Computer Networks, LCN 2006

作者： Pfeifer, Tom Sullivan, Kieran Foghlú, Mícheál Ó. Cork Road Waterford Ireland

ISBN: (纸本)1424404185

Positioning, as one of the prime components of Context, has been a driving factor in the development of ubiquitous computing applications throughout the past two decades. Based on the Redundant Positioning architecture, this paper discusses the issues of suitability and scalability of algorithms for sensor data fusion from analytical and practical perspectives. © 2006 IEEE.

关键词： Scalability

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Fusing diverse monitoring algorithms for robust change detection

Fusing diverse monitoring algorithms for robust change detec...

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conference on Multisensor, Multisource Information fusion

作者： Goebel, Kai F. Hu, Xiao Eklund, Neil H. W. Yan, Weizhong GE Global Res 1 Res Circle Niskayuna NY 12309 USA

ISBN: (纸本)0819462985

Change detection is an important task in remotely monitoring and diagnosing equipment and other processes. Specifically, early detection of differences that indicate abnormal conditions has the promise to provide considerable savings in averting secondary damage and preventing system outage. Of course, accurate early detection has to be balanced against the successful rejection of false positive alarms. In noisy environments, such as aircraft engine monitoring, this proves to be a difficult undertaking for any one algorithm. In this paper, we investigate the performance improvement that can be gained by aggregating the information from a set of diverse change detection algorithms. Specifically, we examine a set of change detectors that utilize a variety of different techniques such as neural nets, random forests, and support vector machines. The different techniques have different detection sensitivities and different false positive rates. For fusion, we consider the Dempster regression technique that operates well for time series as well as averaging schemes, and a meta-classifiers. We provide results using illustrative examples from aircraft engine monitoring.

关键词： change detection diagnostics abnormal condition detection information fusion classifier fusion

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Efficient active fusion for decision-making via VOI approximation

Efficient active fusion for decision-making via VOI approxim...

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21st National conference on Artificial Intelligence and the 18th Innovative applications of Artificial Intelligence conference, AAAI-06/IAAI-06

作者： Liao, Wenhui Ji, Qiang Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY 12180-3590 United States

ISBN: (纸本)1577352815

Active fusion is a process that purposively selects the most informative information from multiple sources as well as combines these information for achieving a reliable result efficiently. This paper presents a general mathematical framework based on Influence Diagrams (IDs) for active fusion and timely decision making. Within this framework, an approximation algorithm is proposed to efficiently compute non-myopic value-of-information (VOI) for multiple sensory actions. Meanwhile a sensor selection algorithm is proposed to choose optimal sensory action sets efficiently. Both the experiments with synthetic data and real data from a real-world application demonstrate that the proposed framework together with the algorithms are well'suited to applications where the decision must be made efficiently and timely from dynamically available information of diverse and disparate sources. Copyright © 2006, American Association for Artificial Intelligence (***). All rights reserved.

关键词： sensor data fusion

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